Principles of Artificial Intelligence
A classic introduction to artificial intelligence intended to bridge the gap between theory and practice, "Principles of Artificial Intelligence" describes fundamental AI ideas that underlie applications such as natural language processing, automatic programming, robotics, machine vision, automatic theorem proving, and intelligent data retrieval. Rather than focusing on the subject matter of the applications, the book is organized around general computational concepts involving the kinds of data structures used, the types of operations performed on the data structures, and the properties of the control strategies used.
"Principles of Artificial Intelligence"evolved from the author's courses and seminars at Stanford University and University of Massachusetts, Amherst, and is suitable for text use in a senior or graduate AI course, or for individual study.
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CONTROL The above procedure is nondeterministic because we have not yet
specified precisely how we are going to select an ... In an irrevocable control
regime , an applicable rule is selected and applied irrevocably without provision
In the second type of tentative control regime , which we call graph - search
control , provision is made for keeping track of the effects of several sequences of
rules simultaneously . Various kinds of graph structures and graph searching ...
Suppose we decide to use a graph - search control regime in solving the 8 -
puzzle problem posed in Figure 1 . 1 . We can keep track of the various rules
applied and the databases produced by a structure called a search tree . An
example of ...
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PRODUCTION SYSTEMS AND AI
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